Least-cost transportation networks predict spatial interaction of invasion vectors.
about
Visibility from roads predict the distribution of invasive fishes in agricultural pondsA spatial modeling approach to predicting the secondary spread of invasive species due to ballast water dischargeWhat lies beneath? An evaluation of rapid assessment tools for management of hull fouling.Biosecurity and vector behaviour: evaluating the potential threat posed by anglers and canoeists as pathways for the spread of invasive non-native species and pathogens.Estimating fish exploitation and aquatic habitat loss across diffuse inland recreational fisheries.The abiotic and biotic factors limiting establishment of predatory fishes at their expanding northern range boundaries in Ontario, Canada.Bycatch, bait, anglers, and roads: quantifying vector activity and propagule introduction risk across lake ecosystems.Practical guidelines for modelling post-entry spread in invasion ecologyOntario freshwater fishes demonstrate differing range-boundary shifts in a warming climateGeographical isolation and invasion ecologyPropagule pressure in the presence of uncertainty: extending the utility of proxy variables with hierarchical modelsSmartphones Reveal Angler Behavior: A Case Study of a Popular Mobile Fishing Application in Alberta, CanadaPotential spread of Great Lakes fishes given climate change and proposed dams: an approach using circuit theory to evaluate invasion riskIntegrating landscape connectivity and habitat suitability to guide offensive and defensive invasive species managementCan we predict risky human behaviour involving invasive species? A case study of the release of fishes to the wildHabitat characteristics, temporal variability, and macroinvertebrate communities associated with a mat-forming nuisance diatom (Didymosphenia geminata) in Catskill mountain streams, New YorkSpatial distribution of marine invasive species: environmental, demographic and vector driversForecasting the Vulnerability of Lakes to Aquatic Plant InvasionsPredicting invasions: alternative models of human-mediated dispersal and interactions between dispersal network structure and Allee effectsAnthropogenic drivers of gypsy moth spreadNEW HORIZONS FOR MANAGING THE ENVIRONMENT: A REVIEW OF COUPLED SOCIAL-ECOLOGICAL SYSTEMS MODELINGCharacterizing connectivity relationships in freshwaters using patch-based graphsPredictive modelling of ecological patterns along linear-feature networks
P2860
Q33748884-296FA510-0AB4-4F38-B73D-BAACB252C5E9Q34627735-D5ABE6A2-2901-4A4B-9EEC-5B80AA4E66CDQ34743548-6A427615-92B4-4980-A8A7-543A7DA67062Q35143660-194E1AA0-4BD4-4682-9DC0-E5069E30B37BQ35432262-84CBBB20-0840-40DA-9A0D-9EE054C14AA1Q35537457-8707D9C2-B56C-4ADD-94BC-8C4245D957C1Q46871397-CBB0548F-FC91-4A35-9CC2-C0FDB557C6E2Q51146357-C5E62702-68FF-4596-9C1E-2FA95EAE33AAQ56083530-B4DB243D-1B3E-4334-AF60-C0D22559AFFEQ56424043-996A49FF-AC59-4B46-8D7A-AE477F715890Q56424739-4B923D5C-04A9-448C-94F5-431F1E7AA340Q56432721-CEA47D90-0BA4-4A10-953D-4D23442AF55EQ56434827-140D60B9-91E3-4A90-B554-9CFBDFD48910Q56435474-A37208B2-4360-422B-8F11-AE77D7B08E1DQ56441737-23ED6EEA-9875-49CC-B28C-B25672789FCBQ56447582-042389E7-38CB-4A80-9AC7-E9AACABD47FEQ56450779-DCD595E9-36A2-40F3-B860-D06399442B4AQ56458967-91FB8D60-43F5-4A71-8F36-B3562EFD4D76Q56544130-B5C1889A-09F0-4C93-A747-9B13208100ACQ56743974-427E4A28-E960-4B3A-AD2B-CB2C195EEF90Q56923802-7F4E00E6-0745-4BDA-BE5F-44F9A4B53180Q56924638-3E8C9F7F-DAFA-404F-BC32-C1684642E171Q58389774-AA0E4EC4-2ABC-4F25-846F-E704AA26FC59
P2860
Least-cost transportation networks predict spatial interaction of invasion vectors.
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Least-cost transportation networks predict spatial interaction of invasion vectors.
@ast
Least-cost transportation networks predict spatial interaction of invasion vectors.
@en
type
label
Least-cost transportation networks predict spatial interaction of invasion vectors.
@ast
Least-cost transportation networks predict spatial interaction of invasion vectors.
@en
prefLabel
Least-cost transportation networks predict spatial interaction of invasion vectors.
@ast
Least-cost transportation networks predict spatial interaction of invasion vectors.
@en
P2860
P356
P1476
Least-cost transportation networks predict spatial interaction of invasion vectors.
@en
P2093
D Andrew R Drake
Nicholas E Mandrak
P2860
P304
P356
10.1890/09-2005.1
P577
2010-12-01T00:00:00Z